Using The Information From The PowerPoint Presentation

Using The Information From the Powerpoint Presentation You Created Inm

Using the information from the PowerPoint presentation you created in Module 3, write an argument paper that takes a position on the issue you selected. Be sure to include an explanation of the topic, possible viewpoints on the topic, your selected position, and supporting evidence for both your position and opposing viewpoints. Avoid reasoning errors by presenting your argument in a logical, defensible manner. Provide a succinct introduction that explains the issue, including key terms. Identify and explain one argument (pro or con) related to the issue, summarizing an existing argument or constructing your own. Assess the type of evidence supporting this argument, identifying premises and conclusions, and analyze how this evidence supports or fails to support the argument's conclusion. Critically evaluate the argument for reasoning errors, align it with the topic, and describe its source. Then, identify and explain a counter-argument, supporting its premises and conclusions, analyzing its evidence similarly. Critically compare both arguments, defend which one is superior, and explain how critical thinking led to this conclusion. Apply current APA standards for style, expression, and formatting, and present your paper professionally with proper grammar, spelling, and punctuation. Submit in Microsoft Word format by the due date.

Paper For Above instruction

The rapid advancement of technology and its integration into daily life have sparked one of the most debated issues in contemporary society: the impact of artificial intelligence (AI) on employment. This issue encompasses a range of viewpoints, including concerns about job displacement versus the opportunities for new job creation. The core of the debate revolves around whether AI will primarily serve as a tool for economic growth and efficiency or whether it threatens to exacerbate unemployment and economic inequality.

The position I advocate is that while AI may displace certain jobs, its overall contribution will be positive for society by fostering new industries and enhancing productivity. This view aligns with arguments made by proponents of AI innovation who emphasize its potential to revolutionize sectors like healthcare, manufacturing, and logistics, thereby generating new employment opportunities and economic growth. Conversely, opponents warn that AI automation will lead to widespread unemployment, particularly among low-skilled workers, exacerbating income inequality and social instability.

One prominent argument supporting the beneficial view of AI emphasizes the concept of technological progress as a driver of economic development. The premise is that innovations in AI will lead to increased efficiency and productivity, which in turn generate economic growth and create demand for new types of jobs. For example, the integration of AI in healthcare has optimized diagnostic procedures and patient management, leading to improved outcomes and new employment roles for AI specialists and healthcare providers. The conclusion drawn from this premise is that AI acts as an engine for economic expansion, benefitting the broader society. This argument is supported by economic studies (Brynjolfsson & McAfee, 2014) indicating that technological innovations historically have led to new job creation, despite initial displacements.

On the other hand, critics of AI adoption highlight the risks of automation-induced unemployment, especially among routine and low-skilled workers. Their argument hinges on the premise that AI systems can perform tasks previously done by humans, such as manufacturing assembly lines or data entry, with higher speed and lower cost. The conclusion is that widespread automation will reduce the demand for human labor in these sectors, resulting in job losses and increased inequality. Evidence supporting this perspective often references recent layoffs in manufacturing industries or the displacement of roles in administrative support, illustrating the immediate impact of AI-driven automation. However, this argument may overlook the potential for transitional unemployment and the time required for workers to acquire new skills.

When assessing these two arguments, the superiority of the optimistic view lies in its acknowledgment of historical patterns where technological progress eventually led to new employment opportunities, albeit with some transitional hardship. The evidence from past technological shifts suggests that innovation tends to stimulate economic growth and job creation in the long term (Autor, 2015). Critical thinking reveals that the pessimistic argument underestimates the adaptability of the labor market and the potential for policy interventions, such as re-skilling programs, to mitigate unemployment impacts. Therefore, the more robust argument is the one that considers AI as a catalyst for economic evolution, provided societal measures are in place to support affected workers.

Critically analyzing these perspectives demonstrates the importance of a nuanced approach, recognizing both the risks and opportunities presented by AI. This anti-dogmatic analysis emphasizes that technological change is inherently complex, requiring proactive policies and continuous education initiatives. The final stance that AI’s overall impact will be positive is rooted in the conviction that human ingenuity, combined with strategic policy responses, can harness AI’s benefits while minimizing its drawbacks, leading to sustainable economic and social development.

References

• Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3–30.
• Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.
• Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerization? Technological Forecasting and Social Change, 114, 254–280.
• Manyika, J., Chui, M., Miremadi, M., Bughin, J., George, K., Willmott, P., & Dewhurst, M. (2017). A future that works: Automation, employment, and productivity. McKinsey Global Institute.
• Nordhaus, W. D. (2015). Is income inequality necessary? The New York Review of Books, 62(8), 54–58.
• Arntz, M., Gregory, T., & Zierahn, U. (2016). The risk of automation for jobs in OECD countries: A comparative analysis. OECD Social, Employment and Migration Working Papers, No. 189.
• Manyika, J., et al. (2017). A future that works: Automation, employment, and productivity. McKinsey Global Institute.
• McKinsey & Company. (2018). The future of work in oil and gas. McKinsey & Company.
• Chui, M., Manyika, J., & Miremadi, M. (2016).Where machines could replace humans—and where they can’t (yet). McKinsey Quarterly.
• Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.